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Preprint Aug 2026

Data Assimilation: Addressing Spurious Correlations and Scalability Issues

Data assimilation in the form of the ensemble Kalman filter (EnKF) is commonly used to combine large-scale physics-based models and real-world observations of a quantity of interest. However, the EnKF is known to be adversely affected by spurious correlations when applied to Numerical Weather Prediction (NWP) models wi...

Eric Crislip, M. Khalil, Kyle Neal · 0 citations

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